alzheimers.Rd
Health, lifestyle, and clinical data for 2,149 individuals used for studying Alzheimer's Disease. Variables include demographics, cognitive assessments, medical conditions, and symptoms.
data(alzheimers)
A data frame with 2,149 observations on the following variables:
Age in years (60 to 90).
Gender (0 = Male, 1 = Female).
Ethnicity (0 = Caucasian, 1 = African American, 2 = Asian, 3 = Other).
Education level (0 = None, 1 = High School, 2 = Bachelor's, 3 = Higher).
Body Mass Index (15 to 40).
Smoking status (0 = No, 1 = Yes).
Weekly alcohol consumption in units (0 to 20).
Weekly physical activity in hours (0 to 10).
Diet quality score (0 to 10).
Sleep quality score (4 to 10).
Family history of Alzheimer's (0 = No, 1 = Yes).
Cardiovascular disease (0 = No, 1 = Yes).
Diabetes (0 = No, 1 = Yes).
Depression (0 = No, 1 = Yes).
History of head injury (0 = No, 1 = Yes).
Hypertension (0 = No, 1 = Yes).
Systolic blood pressure (90 to 180 mmHg).
Diastolic blood pressure (60 to 120 mmHg).
Total cholesterol (150 to 300 mg/dL).
LDL cholesterol (50 to 200 mg/dL).
HDL cholesterol (20 to 100 mg/dL).
Triglycerides (50 to 400 mg/dL).
Mini-Mental State Examination score (0 to 30). Lower is worse.
Functional score (0 to 10). Lower is worse.
Memory complaints (0 = No, 1 = Yes).
Behavioral problems (0 = No, 1 = Yes).
Activities of Daily Living score (0 to 10). Lower is worse.
Presence of confusion (0 = No, 1 = Yes).
Presence of disorientation (0 = No, 1 = Yes).
Presence of personality changes (0 = No, 1 = Yes).
Difficulty completing tasks (0 = No, 1 = Yes).
Forgetfulness (0 = No, 1 = Yes).
Alzheimer's diagnosis (No, Yes).
This dataset is suitable for modeling Alzheimer's risk, performing exploratory analysis, and evaluating statistical and machine learning algorithms. All individuals are uniquely identified and evaluated on a standardized set of clinical and behavioral measures.
Rabie El Kharoua (2024). Alzheimer's Disease Dataset. Available from Kaggle at https://www.kaggle.com/datasets/rabieelkharoua/alzheimers-disease-dataset
# \donttest{
## load the data
data(alzheimers, package = "varPro")
o <- varpro(Diagnosis~.,alzheimers)
imp <- importance(o)
print(imp)
# }